PACERIFT
TOOLS FOR DIFFERENT RIDES

Pick your
setup.

Choose by the data you need and the gear you want to carry.

PHONE / EVERYDAY

Pacerift

GPS route, speed, acceleration and braking analysis using the Android phone you already carry. Offline capable, free, and no extra logger required.

Explore the app ↗
DEDICATED / CIRCUIT

Motorsport logger

Purpose-built hardware can provide higher-rate positioning and direct mounting options. It adds equipment cost, installation and a separate data workflow.

NAVIGATION / ROUTE

Navigation unit

Built to keep a route and directions visible. Detailed post-ride acceleration, braking and motion analysis may require another tool.

OPTIONAL / MORE MEASUREMENT

Add chassis sensing when you need it.

The Pacerift Compact Pod is intended to add hard-mounted motion sensing and more analytics. The phone app remains useful on its own.

Learn about the Compact Pod ↗

Capabilities vary by device and setup. Phone-based speed and motion analysis is not calibrated motorsport instrumentation.

04 / TELEMETRY LAB

Corner speed.
Made tangible.

See how speed and corner radius shape lateral acceleration and an idealized lean estimate. Adjust either control; the readout updates instantly.

Open the full Telemetry Lab ↗
TURN MODELEDUCATIONAL ESTIMATE
LATERAL ACCELERATION0.91 g
IDEALIZED LEAN42.3°

Ideal coordinated-turn model only. Not measured vehicle data or a riding recommendation.

[ 🛠️ Technical Telemetry & Signal Engineering Specs ]EXPAND SPECS +

Engineering notes for riders who want to understand how GPS and inertial signals become a readable ride profile. These are processing concepts, not a claim that a phone replaces calibrated chassis-mounted motorsport instrumentation.

01 / LOW-PASS

Butterworth smoothing

A low-pass Butterworth response attenuates high-frequency noise while retaining the ride-scale motion that matters. For order n and cutoff fc, the squared magnitude response is:

|H(jω)|² = 1 / (1 + (ω / ωc)2n)

Cutoff selection trades noise rejection against transient response. Filtering should preserve acceleration and braking events rather than over-smooth them.

02 / ROBUST OUTLIERS

Hampel rejection

For samples in a local window, compute the median m and median absolute deviation (MAD). Flag an outlier when:

|xᵢ − m| > k · 1.4826 · MAD

The scale factor makes MAD comparable to standard deviation for normally distributed noise. A flagged sample can be replaced with the window median or marked for downstream handling.

03 / FRAME ALIGNMENT

Quaternion rotation

Orientation quaternions rotate measured acceleration from device coordinates into a chosen reference frame:

aworld = q ⊗ adevice ⊗ q⁻¹

Gravity compensation and axis alignment help estimate linear acceleration. Orientation drift and phone placement remain sources of uncertainty.

04 / VEHICLE DYNAMICS

Useful relationships

Longitudinal acceleration is estimated from velocity change over time. For a turn at speed v and radius r, lateral acceleration is:

alat = v² / r  G = a / 9.80665 m·s⁻²

An ideal coordinated-turn lean estimate follows tan(θ) = v²/(r·g). Phone-only estimates are affected by mounting, vibration, road camber, tire dynamics and sensor drift.

PHONE SENSORS SUPPORT RIDE ANALYSIS · THE OPTIONAL PACERIFT POD IS DESIGNED TO ADD DIRECT CHASSIS MEASUREMENT

READY WHEN YOU ARE

Make every ride
count.

FREE · OFFLINE READY · ANDROID